Mami Iima, Ryosuke Mizuno, Masako Kataoka, Kazuki Tsuji, Toshiki Yamazaki, Akihiko Minami, Maya Honda, Keiho Imanishi, Masahiro Takada, Yuji Nakamoto. Deep Learning Applied to Diffusion-weighted Imaging for Differentiating Malignant from Benign Breast Tumors without Lesion Segmentation. Radiology: Artificial Intelligence. 2024
Tomomi Nishimura, Ravi Velaga, Norikazu Masuda, Kosuke Kawaguchi, Shuji Kawaguchi, Masahiro Takada, Yurina Maeshima, Sunao Tanaka, Yuichiro Kikawa, Takayuki Kadoya, et al. Genomic and transcriptomic profiling of pre- and postneoadjuvant chemotherapy triple negative breast cancer tumors. Cancer science. 2024
Tomohiro Nishiyama, Ayane Yamaguchi, Peitao Han, Lis Weiji Kanashiro Pereira, Yuka Otsuki, Gabriel Herman Bernardim Andrade, Noriko Kudo, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki, et al. Automated System to Capture Patient Symptoms From Multitype Japanese Clinical Texts: Retrospective Study. JMIR Medical Informatics. 2024. 12. e58977-e58977
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Treatment for HER2-positive MBC
(Best of San Antonio Breast Cancer Symposium Kyoto 2021)
Prediction tools to identify high-risk individuals
(Kyoto Breast Cancer Consensus Conference 2021 2021)
Absolute Benefit of S-1 Postoperative Therapy for ER-positive, HER2-negative Breast Cancer: Exploratory Analysis of the phase 3 POTENT trial
(ASCO Annual Meeting 2020)
Oligometastatic Breast Cancer -Role of Locoregional Methods
(III EAFO Breast Cancer Forum 2020)
